The wine industry has growth potential in adopting digital technologies. IoT sensors, artificial intelligence, and blockchain are used to enhance production, traceability, and efficiency. Digitalization helps predict weather, optimize harvests, monitor soil quality, and streamline processes. The challenge is to include SMEs in this process to maintain competitiveness and wine quality.
Artificial Intelligence (AI) exhibits biases that can be dangerous for society because machines learn from biased data. These biases can have significant social consequences, such as discrimination in hiring and incorrect labeling of images. However, AI is not inherently bad; rather, proper data selection and corrective measures are required to address these biases. It is crucial to have diverse teams in AI development and to work toward responsible AI by applying techniques like explainability and meta-learning.
Technological solutions based on data are emerging as crucial to addressing the growing water scarcity. The use of IoT devices enables smart management of water resources at domestic, governmental, and agricultural levels. This approach has led to increasing investment in the smart water management market, estimated at $53.6 billion by 2031, with applications ranging from leak detection and prevention to irrigation system automation and problem forecasting. The combination of sensors, data analysis, and IoT technologies offers an innovative and essential solution for tackling future water scarcity challenges.
In the beauty industry, IoT devices are key players in driving change. They have the capability to collect hundreds of skin data points and transform them into real-time, tailored responses and treatments. Beyond simple active ingredients and product offerings designed to enhance appearance and well-being, recent advancements in technology are rapidly changing how brands offer… Continue reading Sensors and IoT Connectivity Hyper-Personalize the Cosmetics Industry
Consulting and advice on Google Cloud Platform content achieving greater efficiency.
Development of a hybrid solution to detect pools in different regions
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